EP2402562B1 - System und Verfahren zur Überwachung des Zustands von Triebwerksschaufeln - Google Patents

System und Verfahren zur Überwachung des Zustands von Triebwerksschaufeln Download PDF

Info

Publication number
EP2402562B1
EP2402562B1 EP11171241.0A EP11171241A EP2402562B1 EP 2402562 B1 EP2402562 B1 EP 2402562B1 EP 11171241 A EP11171241 A EP 11171241A EP 2402562 B1 EP2402562 B1 EP 2402562B1
Authority
EP
European Patent Office
Prior art keywords
delta
toa
blades
normalized
blade
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP11171241.0A
Other languages
English (en)
French (fr)
Other versions
EP2402562A3 (de
EP2402562A2 (de
Inventor
Venkatesh Rajagopalan
Vivek Venugopal Badami
Rahul Srinivas Prabhu
Ajay Kumar Behera
Aninda Bhattacharya
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
General Electric Co
Original Assignee
General Electric Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by General Electric Co filed Critical General Electric Co
Publication of EP2402562A2 publication Critical patent/EP2402562A2/de
Publication of EP2402562A3 publication Critical patent/EP2402562A3/de
Application granted granted Critical
Publication of EP2402562B1 publication Critical patent/EP2402562B1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
    • F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
    • F01D21/003—Arrangements for testing or measuring
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • G01H1/006—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines of the rotor of turbo machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/14—Testing gas-turbine engines or jet-propulsion engines
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2260/00—Function
    • F05D2260/80—Diagnostics

Definitions

  • Embodiments of the disclosure relates generally to systems and methods for monitoring health of rotor blades or airfoils.
  • Rotor blades or airfoils play a crucial role in many devices with several examples including axial compressors, turbines, engines, turbo-machines, or the like.
  • an axial compressor has a series of stages with each stage comprising a row of rotor blades or airfoils followed by a row of static blades or static airfoils. Accordingly, each stage comprises a pair of rotor blades or airfoils and static airfoils.
  • the rotor blades or airfoils increase the kinetic energy of a fluid that enters the axial compressor through an inlet.
  • the static blades or static airfoils generally convert the increased kinetic energy of the fluid into static pressure through diffusion. Accordingly, the rotor blades or airfoils and static airfoils play a crucial role to increase the pressure of the fluid.
  • Axial compressors may be used in a number of devices, such as, land based gas turbines, jet engines, high speed ship engines, small scale power stations, or the like.
  • the axial compressors may be used in varied applications, such as, large volume air separation plants, blast furnace air, fluid catalytic cracking air, propane dehydrogenation, or the like.
  • the airfoils operate for long hours under extreme and varied operating conditions such as, high speed, pressure and temperature that effect the health of the airfoils.
  • certain other factors lead to fatigue and stress of the airfoils.
  • the factors may include inertial forces including centrifugal force, pressure, resonant frequencies of the airfoils, vibrations in the airfoils, vibratory stresses, temperature stresses, reseating of the airfoils, load of the gas or other fluid, or the like.
  • a prolonged increase in stress and fatigue over a period of time leads to defects and cracks in the airfoils.
  • One or more of the cracks may widen with time to result in a liberation of an airfoil or a portion of the airfoil.
  • the liberation of airfoil may be hazardous for the device that includes the airfoils, and thus may lead to enormous monetary losses. In addition, it may be unsafe and horrendous for people near the device.
  • US 2010/161245 A1 discloses a system for rotor blade health monitoring.
  • a method and system for monitoring the health of a plurality of blades are defined in independent claims 1 and 8 respectively.
  • a method for monitoring the health of a plurality of blades includes determining delta TOA corresponding to the plurality of blades, determining a standard deviation utilizing the delta TOA corresponding to the plurality of blades, determining a delta sigma_1 utilizing the standard deviation and an initial standard deviation, determining a normalized delta TOA corresponding to one or more of the plurality of blades utilizing the delta sigma_1, determining a standard deviation of the normalized delta TOA, determining a delta sigma_2 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determining a corrected delta TOA corresponding to the one or more of the plurality of blades based upon the delta sigma_2.
  • a method for monitoring the health of a plurality of blades includes the steps of determining delta TOA corresponding to the plurality of blades, calculating a standard deviation of the delta TOA corresponding to the plurality of blades, determining a normalized delta TOA corresponding to one or more of the plurality of blades, determining a standard deviation of the normalized delta TOA, determining a delta sigma_3 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determining a corrected delta TOA based upon the delta sigma_3.
  • a system including a processing subsystem.
  • the processing subsystem determines delta TOA corresponding to a plurality of blades, determines a standard deviation utilizing the delta TOA corresponding to the plurality of blades, determines a delta sigma_1 utilizing the standard deviation and an initial standard deviation, determines a normalized delta TOA corresponding to one or more of the plurality of blades utilizing the delta sigma_1, determines a standard deviation of the normalized delta TOA, determines a delta sigma_2 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determines a corrected delta TOA corresponding to the one or more of the plurality of blades based upon the delta sigma_2.
  • a system including a processing subsystem determines delta TOA corresponding to a plurality of blades, calculates a standard deviation of the delta TOA corresponding to the plurality of blades, determines a normalized delta TOA corresponding to one or more of the plurality of blades, determines a standard deviation of the normalized delta TOA, determines a delta sigma_3 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determines a corrected delta TOA based upon the delta sigma_3.
  • embodiments of the present system and techniques evaluate the health of one or more blades or airfoils. More particularly, the present system and techniques determine static deflection of the blades or airfoils due to one or more defects or cracks in the blades or airfoils.
  • airfoils and “blades” will be used interchangeably.
  • the static deflection may be used to refer to a steady change in an original or expected position of a blade from the expected or original position of the blade.
  • Certain embodiments of the present system and techniques also determine dynamic deflection corresponding to the blades. As used herein, the term, “dynamic deflection” may be used to refer to amplitude of vibration of a blade over the mean position of the blade.
  • a time of arrival (TOA) of blades at a reference position may vary from an expected TOA due to the one or more cracks or defects in the blades. Accordingly, the variation in the TOA of the blades may be used to determine the static deflection of the blades.
  • expected TOA may be used to refer to a TOA of a blade at a reference position when there are no defects or cracks in the blade and the blade is working in an ideal situation, load conditions are optimal, and the vibrations in the blade are minimal.
  • TOA and the term “actual TOA” will be used interchangeably.
  • the TOA may also vary due to one or more operational data and reseating of blades.
  • the operational data may include an inlet guide vane (IGV) angle, a load, speed, mass flow, discharge pressure, or the like.
  • IGV inlet guide vane
  • the term "reseating of a blade” may be used to refer to a locking of a blade at a position different from the original or expected position of the blade in joints, such as, a dovetail joint.
  • the blades are fastened to a rotor via one or more joints, such as, dovetail joints.
  • the blades may shift from their original positions in the joints and may lock in the joints at positions that are different from the original positions of the blades.
  • the device may include a gas turbine, a compressor, or the like.
  • the locking of the blades in the joints at the positions different from the original positions of the blades is referred to as reseating of the blades.
  • the change in the positions of the blades may vary actual TOA of the blades.
  • the static deflection that is determined based upon the the actual TOA of the blades vary or exceed an exact or accurate static deflection due to the crack or defect in the blades. Accordingly, it is crucial to negate the effects of the operational data and the reseating of the blades on the actual TOA for the determination of the exact static deflection, hereinafter "static deflection.” Certain embodiments of the present techniques negate the effects of one or more of the operational data and the reseating of the blades from the actual TOA of the blades to determine the static deflection. Certain other embodiments of the present techniques normalize or compensate the effects of the operational data on the actual TOA.
  • FIG. 1 is a diagrammatic illustration of a rotor blade health monitoring system 10, in accordance with an embodiment of the present system.
  • the system 10 includes one or more blades or airfoils 12 that are monitored by the system 10 to determine static deflection of the blades 12. In certain embodiments, the system 10 also determines dynamic deflection corresponding to the blades 12.
  • the system 10 includes one or more sensors 14, 16. Each of the sensors 14, 16 generate TOA signals 18, 20, respectively that are representative of actual TOA of the blades 12 at a reference point for a particular time period. In one embodiment, the sensors 14, 16 sense an arrival of the one or more blades 12 at the reference point to generate the TOA signals 18, 20.
  • each of the TOA signals 18, 20 is sampled and/or measured for a particular time period and is used for determining actual TOA of a blade.
  • the actual TOA for example, may be measured in units of time or degrees.
  • the sensors 14, 16 may sense an arrival of the leading edge of the one or more blades 12 to generate the TOA signals 18, 20. In another embodiment, the sensors 14, 16 may sense an arrival of the trailing edge of the one or more blades 12 to generate the signals 18, 20. In still another embodiment, the sensor 14 may sense an arrival of the leading edge of the one or more blades 12 to generate the TOA signals 18 and, the sensor 16 may sense an arrival of the trailing edge of the one or more blades 12 to generate the TOA signals 20, or vice versa.
  • the sensors 14, 16, for example may be mounted adjacent to the one or more blades 12 on a stationary object in a position such that an arrival of the one or more blades 12 may be sensed efficiently.
  • At least one of the sensors 14, 16 is mounted on a casing (not shown) of the one or more blades 12.
  • the sensors 14, 16 may be magnetic sensors, capacitive sensors, eddy current sensors, or the like.
  • the TOA signals 18, 20 are received by a processing subsystem 22.
  • the processing subsystem 22 determines actual TOA of the one or more blades 12 based upon the TOA signals 18, 20. Furthermore, the processing subsystem 22 determines static deflection of the one or more blades 12 based upon the actual TOA of the one or more blades 12. More particularly, the processing subsystem 22 is configured to determine the static deflection of the one or more of the blades 12 by processing the actual TOA of the one or more blades 12. As previously noted the actual TOA of the blades 12 may be affected by one or more operational data and reseating of the blades 12.
  • the static deflection that is determined based upon the actual TOA of the one or more blades 12 may be an exaggerated value due to the effects of the operational data on the actual TOA and the reseating of the blades 12.
  • the static deflection that is determined based upon the actual TOA of blades 12 may show one or more defects or cracks in the blades 12 even when no cracks or defects exist in the blades 12.
  • the processing subsystem 22 determines the effects of the one or more operational data on the actual TOA of the one or more blades 12.
  • the processing subsystem 22 determines the static deflection by deducting the effects of the one or more operational data on the actual TOA of the one or more blades 12.
  • the operational data may include inlet guide vane (IGV) angle, a load variation, reseating of a blade, asynchronous vibration, synchronous vibration, variation of speed, temperature, speed, or the like.
  • the processing subsystem 22, for example, may receive the operational data from an onsite monitoring machine (OSM) 24 that monitors the operational data via sensors, cameras, and other devices.
  • OSM onsite monitoring machine
  • the processing subsystem 22 normalizes the effects of the reseating of the blades on the actual TOA of the blades 12.
  • the processing subsystem 22 is also configured to determine dynamic deflection corresponding to the one or more blades 12 based upon the static deflection and the actual TOA of the one or more blades 12.
  • the processing subsystem 22 may have a data repository 26 that stores data, such as, static deflection, dynamic deflection, TOA, delta TOA, any intermediate data, or the like.
  • the one or more blades may be the one or more blades 12 (see FIG. 1 ).
  • the method starts at step 102 where TOA signals corresponding to each of the one or more blades are received by a processing subsystem, such as, the processing subsystem 22 (see FIG. 1 ).
  • the TOA signals may be generated by a sensor, such as, the sensors 14, 16 (see FIG. 1 ).
  • the TOA signals for example, may be the TOA signals 18, 20.
  • step 104 actual TOA corresponding to each of the one or more blades is determined by the processing subsystem.
  • the processing subsystem determines the actual TOA utilizing TOA signals corresponding to each of the one or more blades. More particularly, the processing subsystem determines one or more actual TOA corresponding to a blade utilizing a TOA signal corresponding to the blade.
  • step 106 a delta TOA corresponding to each of the one or more blades is determined.
  • the delta TOA corresponding to a blade is a difference of an actual TOA corresponding to the blade that is determined at step 104 and an expected TOA 105 corresponding to the blade. It may be noted that the delta TOA corresponding to the blade is representative of a variation from the expected TOA 105 of the blade at a time instant.
  • an expected TOA may be used to refer to an actual TOA of a blade at a reference position when there are no defects or cracks in the blade and the blade is working in an operational state when effects of operational data on the actual TOA are minimal.
  • an expected TOA corresponding to a blade may be determined by equating an actual TOA corresponding to the blade to the expected TOA of the blade when a device that includes the blade has been recently commissioned or bought. Such a determination assumes that since the device has been recently commissioned or bought, all the blades are working in an ideal situation, the load conditions are optimal, and the vibrations in the blade are minimal.
  • the expected TOA may be determined by taking an average of actual times of arrival (TOAs) of all the blades in the device.
  • the device may include axial compressors, land based gas turbines, jet engines, high speed ship engines, small scale power stations, or the like. It may be noted that the delta TOA is represented in units of time or degrees.
  • the units of the delta TOA corresponding to each of the one or more blades may be converted in to units of mils.
  • the radius R is in units of mils.
  • the static deflection of each of the one or more blades is determined based upon the delta TOA.
  • the determination of the static deflection of the one or more blades will be explained in greater detail with reference to FIGs. 3-5 .
  • the dynamic deflection corresponding to the one or more blades may be determined.
  • a dynamic deflection corresponding to a blade may be determined by subtracting a static deflection corresponding to the blade from a delta TOA corresponding to the blade.
  • a dynamic deflection corresponding to a blade may be determined by subtracting a static deflection corresponding to the blade from a filtered delta TOA corresponding to the blade.
  • the filtered delta TOA for example, may be determined by filtering a delta TOA corresponding to the blade that is determined at step 106.
  • the delta TOA may be filtered utilizing one or more techniques including average filtering, median filtering, or the like.
  • actual TOA of one or more blades may be used to determine static deflection of the blades.
  • one or more operational data and reseating of the blades may effect the actual TOA of the blades. Consequently, the static deflection that is determined based upon the actual TOA of the blades may not be accurate static deflection. Accordingly, it is essential to remove or deduct the effects of the one or more operational data and reseating of the blades on the actual TOA for the determination of the exact static deflection.
  • FIG. 3 a flowchart representing an exemplary method 110 for determining static deflection of a blade, in accordance with an embodiment of the invention, is depicted. More particularly, step 110 of FIG. 2 is described in greater detail in accordance with an exemplary aspect of the present techniques.
  • reference numeral 302 is representative of a delta TOA corresponding to the blade.
  • the delta TOA 302 may be determined utilizing the techniques described with reference to step 106 of FIG. 2 .
  • one or more operational data corresponding to the blade or a device that includes the blade may be received.
  • the operational data may include (IGV) angle, load, temperature, speed, mass flow, discharge pressure, or the like.
  • the operational data may be received by the processing subsystem 22 from the onsite monitor 24 (see FIG. 1 ).
  • a check may be carried out to verify if the blade is operating for the first time after a start up of the device that includes the blade.
  • the control may be transferred to step 308.
  • one or more coefficients are determined based upon one or more portions of the operational data.
  • the coefficients may be determined by forming a linear combination of the one or more portions of operational data.
  • the values of the one or more portions of operational data may be substituted to determine the coefficients.
  • the coefficients that have been determined at step 308 are stored in a data repository, such as, the data repository 26 (see FIG. 1 ). It may be noted that when the coefficients are stored in the data repository any other existing coefficients in the data repository may be erased.
  • step 310 the coefficients are retrieved from the data repository.
  • the coefficients are retrieved at step 310 with an assumption that the coefficients have already been determined during a start up of the device that includes the blade and thus, already exist in the data repository.
  • steps 314 effects due to IGV angle on the delta TOA 302 may be determined.
  • the function of IGV may be determined by determining a multiple of IGV(t) and a coefficient corresponding to the IGV(t).
  • effects on the delta TOA 302 due to load may be determined.
  • the function of DWATT may be determined by determining a multiple of DWATT(t) and a coefficient corresponding to the DWATT.
  • the function of DWATT may be determined by determining a linear combination of the multiple of DWATT(t) and the coefficient and, another coefficient corresponding to the DWATT.
  • effects due to inlet temperature (CTIM) on the delta TOA 302 may be determined.
  • a normalized delta TOA is determined at step 320.
  • the normalized delta TOA for example, may be determined by subtracting the effects of the operational data, such as, the IGV, the load and the inlet temperature (CTIM) from the delta TOA 302.
  • Norm _ ⁇ TOA k ( t ) is a normalized delta TOA corresponding to a blade k at a t instant of time
  • ⁇ TOA k ( t ) is a delta TOA corresponding to the blade k at the t instant of time
  • T CTIM ( t ) T IGV ( t ) are the effects of the load, inlet temperature and IGV on the delta TOA at the t instant of time, respectively.
  • one or more blades are fastened to a rotor via one or more joints, such as, dovetail joints.
  • the blades may shift from their original positions in the joints and may lock in the joints at positions that are different from the original positions of the blades.
  • the locking of the blades in the joints at the positions different from the original positions of the blades is referred to as reseating of the blades.
  • the change in the positions of the blades may vary actual TOA of the blades. Accordingly, delta TOA and normalized delta TOA that are determined based upon the actual TOA of the blades may not be accurate.
  • the delta TOA and the normalized delta TOA may not be accurate due to the reseating of the blades. Accordingly, it is essential to correct the actual TOA, delta TOA or the normalized delta TOA corresponding to the blades to remove effects due to the reseating of the blades.
  • the steps 322-330 correct the normalized delta TOA determined at step 320 and the delta TOA 302 of the blade to remove effects due to a reseating of the blade.
  • a check may be carried out to verify whether the blade is operating for the first time after a start up.
  • the control may be transferred to step 324.
  • a reseating offset corresponding to the blade may be determined.
  • the term "reseating offset” may be used to refer to a numerical value that may be used to remove effects due to reseating of a blade from delta TOA, actual TOA or a normalized delta TOA of the blade. The determination of the reseating offset will be explained in greater detail with reference to FIG. 6 .
  • the reseating offset determined at step 324 may be stored in the data repository at step 326.
  • the reseating offset for example, may be stored in the data repository 26 (see FIG. 1 ). It may be noted that in the presently contemplated configuration, the reseating offset is determined when the blade is operating for the first time after the start up as it is assumed that the blade may lock at a position different from the original position of the blade during the start up of the device that includes the blade.
  • step 328 if it is determined that the blade is not operating for the first time after a start up of the device that includes the blade, then the control may be transferred to step 328. It may be noted that when the blade is not operating for the first time after a start up, it indicates that the reseating offset corresponding to the blade has already been determined after a start up of the device that includes the blade and has already been stored in the data repository. Accordingly, at step 328, a reseating offset corresponding to the blade may be retrieved from the data repository.
  • a corrected delta TOA may be determined at step 330.
  • the corrected delta TOA may be determined by correcting the normalized delta TOA that has been determined at step 320 for the reseating of the blade.
  • the corrected delta TOA may be determined by subtracting the reseating offset from the normalized delta TOA corresponding to the blade.
  • the corrected delta TOA may be determined by correcting the delta TOA 302.
  • the corrected delta TOA may be determined by subtracting the reseating offset from the delta TOA 302 corresponding to the blade.
  • the corrected delta TOA may be filtered to generate static deflection 334.
  • the filtering of the corrected delta TOA may reduce noise from the corrected delta TOA.
  • the corrected delta TOA for example, may be filtered using median filtering, moving average filtering, or combinations thereof.
  • one or more operational data effect actual TOA of a plurality of blades.
  • the operational data may not affect the actual TOA of the blades uniformly. Accordingly, the actual TOA of one or more of the blades may be affected more in comparison to the actual TOA of other blades in the plurality of blades.
  • static deflection corresponding to the one or more of the blades may show defects or cracks in the blades due to the additional effects of the operational data in comparison to static deflection corresponding to the other blades.
  • the static deflection that is determined based upon the actual TOA of the blades may not be accurate static deflection. Accordingly, it is essential to normalize the effects of the operational data on the actual TOA of the plurality of blades in a device. Exemplary methods for determining static deflection by normalizing effects of one or more operational data on actual TOA or delta TOA that is determined based upon the actual TOA will be explained with reference to FIGs. 4 and 5 .
  • FIG. 4 a flowchart representing steps in an exemplary method 110' for determining static deflection in accordance with another embodiment, is depicted. More particularly, FIG. 4 explains step 110 of FIG. 2 in accordance with an embodiment of the present technique for determining the static deflection.
  • reference numeral 402 is representative of delta times of arrival (TOAs) corresponding to a plurality of blades in a device, such as, a turbine, axial compressor, or the like.
  • a delta TOA corresponding to each of the plurality of blades is determined utilizing the techniques explained with reference to step 106 of FIG. 2 .
  • the delta TOAs 402 may be similar to the delta TOA determined at step 106 of FIG. 2 .
  • a standard deviation of the delta TOAs corresponding to the plurality of blades is calculated. For example, when the plurality of blades includes five blades and each of the five blades has a delta TOA as delta TOA 1 , delta TOA 2 , delta TOA 3 , delta TOA 4 , delta TOA 5 then, a standard deviation of the delta TOA 1 , delta TOA 2 , delta TOA 3 , delta TOA 4 and delta TOA 5 may be calculated at the step 404. Subsequently at step 406, a check may be carried out to determine if the blades are operating for the first time after a start up of a device that includes the plurality of blades. At step 406, if it is determined that the blades are operating for the first time after a start up, then the control may be transferred to step 408.
  • the term “standard deviation” will be hereinafter referred to as "current standard deviation.”
  • the standard deviation that is calculated at step 404 may be stored as an initial standard deviation 410.
  • the initial standard deviation 410 may be stored in a data repository, such as, the data repository 26.
  • the term "initial standard deviation” may be referred to as a current standard deviation that is determined when the blades start operating for the first time after a start up. More particularly, the standard deviation that is determined at step 404 may be stored as the initial standard deviation 410 in the data repository.
  • a delta sigma_1 is determined utilizing the current standard deviation determined at step 404 and the initial standard deviation 410. More particularly, the delta sigma_1 is determined by determining a difference between the current standard deviation that is determined at step 404 and the initial standard deviation 410. It may be noted that when the step 412 is processed for the first time after a start up of the device that includes the plurality of blades, then the values of the initial standard deviation 410 and the current standard deviation determined at step 404 are equivalent. Accordingly, the value of delta sigma_1 may be equal to zero at step 412.
  • a normalized delta TOA corresponding to one or more of the plurality of blades is determined.
  • Norm _ ⁇ TOA k ( t ) is a normalized delta TOA corresponding to a blade k at a t instant of time
  • ⁇ TOA k ( t ) is a delta TOA corresponding to the blade k at the t instant of time
  • ⁇ ⁇ ( t )_1 is a delta sigma_1 at the t instant of time
  • K is a constant.
  • the value of the constant K may be determined based upon a mean of delta TOA corresponding to the blades. In one embodiment, the value of K may be 1. In another embodiment, the value of K may be -1. In still another embodiment the value of K may be 0.
  • a current standard deviation of the normalized delta TOA corresponding to the one or more of the plurality of blades is determined.
  • a delta sigma_2 is determined.
  • the delta sigma_2 is determined by determining a difference between the current standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA.
  • the term "previous standard deviation of normalized delta TOA" may be used to refer to a current standard deviation of normalized delta TOA that is determined at a time step T-1 in comparison to a current standard deviation of normalized delta TOA that is determined at a time step T.
  • a check may be carried out to verify if the delta sigma_2 is greater than a predetermined first threshold and/or if the plurality of blades are operating for the first time after a start up.
  • the predetermined first threshold may be determined empirically based upon historical delta TOA corresponding to the blades.
  • the control may be transferred to step 422.
  • a reseating offset corresponding to the one or more of the plurality of blades may be determined.
  • the reseating offset may be stored in the data repository, such as, the data repository 26 (see FIG. 1 ).
  • the control may be transferred to step 426.
  • the reseating offset may be retrieved from the data repository. It may be noted that no reseating offset is generated when the delta sigma_2 is not greater than the predetermined first threshold and the blades are not operating for the first time after a start up. Accordingly, an existing reseating offset from the data repository is retrieved at step 426.
  • a corrected delta TOA corresponding to the one or more of the plurality of blades is determined at step 428.
  • the corrected delta TOA may be determined utilizing the techniques explained with reference to step 330 of FIG. 3 .
  • the corrected delta TOA may be determined utilizing the techniques explained with reference to step 330 of FIG. 3 .
  • the corrected delta TOA corresponding to a blade may be determined utilizing the normalized delta TOA corresponding to the blade that is determined at step 414 and a reseating offset corresponding to the blade that is retrieved from the data repository at step 426.
  • a corrected delta TOA corresponding to a blade may be determined by subtracting a reseating offset corresponding to the blade from delta TOA corresponding to the blade.
  • the delta TOA for example, may be one of the delta TOA 402 corresponding to the plurality of blades.
  • the corrected delta TOA may be filtered to generate static deflection 432 corresponding to the one or more of the plurality of blades.
  • the filtering of the corrected delta TOA may reduce noise from the corrected delta TOA.
  • the corrected delta TOA for example, may be filtered using a median filtering technique, a moving average filtering technique, or combinations thereof.
  • FIG. 5 a flowchart representing steps in an exemplary method 110" for determining static deflection in accordance with another embodiment, is depicted. More particularly, FIG. 5 explains step 110 of FIG. 2 in accordance with an embodiment of the present techniques for determining the static deflection.
  • reference numeral 502 is representative of delta times of arrival (TOAs) corresponding to a plurality of blades in a device, such as, a turbine, axial compressor, or the like.
  • a delta TOA corresponding to each of the plurality of blades is determined utilizing the techniques explained with reference to step 106 of FIG. 2 .
  • the delta TOAs 502 may be similar to the delta TOA determined at step 106 of FIG. 2 .
  • a standard deviation of the delta TOAs corresponding to the plurality of blades is calculated. For example, when the plurality of blades includes five blades and each of the five blades has a delta TOA as delta TOA 1 , delta TOA 2 , delta TOA 3 , delta TOA 4 , delta TOA 5 then, a standard deviation of the delta TOA 1 , delta TOA 2 , delta TOA 3 , delta TOA 4 and delta TOA 5 may be determined at the step 504. Subsequently at step 506, a normalized delta TOA corresponding to one or more of the plurality of blades is determined.
  • Norm _ ⁇ TOA k ( t ) is a normalized delta TOA corresponding to a blade k at a t instant of time
  • ⁇ TOA k ( t ) is a delta TOA corresponding to the blade k at the t instant of time
  • Mean ⁇ TOA 1 toj ( t ) is a mean of delta TOA corresponding to blades 1 to j that includes the blade k .
  • a standard deviation of the normalized delta TOA corresponding to the one or more of the plurality of blades is determined.
  • a delta sigma_3 may be determined.
  • the delta sigma_3, for example, may be determined by determining a difference between the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA.
  • the term "previous standard deviation of normalized delta TOA" may be used to refer to a standard deviation of normalized delta TOA that is determined at a time step T-1 in comparison to a standard deviation of normalized delta TOA that is determined at a time step T.
  • a check may be carried out at step 512 to verify if the delta sigma_3 is greater than a predetermined second threshold and/or if the plurality of blades are operating for the first time after a start up.
  • the predetermined second threshold may be determined empirically based upon historical delta TOA.
  • the control may be transferred to step 514.
  • a reseating offset corresponding to each of the one or more of the plurality of blades may be determined.
  • the reseating offset may be stored in the data repository, such as, the data repository 26 (see FIG. 1 ).
  • step 518 when it is determined that the delta sigma_3 is not greater than the predetermined second threshold and the plurality of blades are not operating for the first time after a start up then the control may be transferred to step 518.
  • a reseating offset corresponding to each of the one or more of the plurality of blades may be retrieved from the data repository. It may be noted that no reseating offset is generated when the delta sigma_3 is not greater than the predetermined second threshold and the blades are not operating for the first time after a start up. Accordingly, an existing reseating offset from the data repository is retrieved at step 518.
  • a corrected delta TOA corresponding the one or more of the plurality of blades may be determined at step 520.
  • the corrected delta TOA may be determined utilizing the techniques explained with reference to step 330 of FIG. 3 .
  • the corrected delta TOA may be determined utilizing the techniques described with reference to step 330 of FIG. 3 .
  • the corrected delta TOA corresponding to a blade may be determined utilizing the normalized delta TOA corresponding to the blade that is determined at step 506 and a reseating offset corresponding to the blade that is retrieved from the data repository at step 518.
  • a corrected delta TOA corresponding to a blade may be determined by subtracting a reseating offset corresponding to the blade from a normalized delta TOA corresponding to the blade.
  • a corrected delta TOA corresponding to a blade may be determined by subtracting a reseating offset corresponding to the blade from delta TOA corresponding to the blade.
  • the delta TOA for example, may be one of the delta TOA 502 corresponding to the plurality of blades.
  • the corrected delta TOA may be filtered to generate static deflection 524.
  • the filtering of the corrected delta TOA may reduce noise from the corrected delta TOA.
  • the corrected delta TOA for example, may be filtered using a median filtering technique, a moving average filtering technique, or combinations thereof.
  • reference numeral 602 is representative of normalized delta times of arrival (TOAs) corresponding to the blade.
  • the normalized delta TOAs 602 may be one or more of normalized delta TOAs that have been determined using the techniques described with reference to steps 320 of FIG. 3 , 414 of FIG. 4 ,506 of FIG. 5 .
  • the normalized delta TOAs 602 are one or more of normalized delta TOAs corresponding to the blade that has been determined after transient events of the blade.
  • the transient events may include a start up or shutdown of a device that includes the blades, continuous change in the speed of the blades, or the like.
  • reference numeral 604 is representative of one or more corrected delta TOAs corresponding to the blade that has been determined utilizing normalized delta TOAs that were generated before the transient events.
  • the transient events are transient events after which the normalized delta TOAs 602 were determined.
  • a check is carried out to determine if the blade is running for the first time after a start up.
  • the control is transferred to step 608.
  • a check may be carried out to determine if the blade is running at a base load.
  • the control may be transferred to step 610.
  • control may be transferred to the step 610.
  • step 610 it is declared that a reseating offset corresponding to the blade already exists in a data repository, such as, the data repository 26 (see FIG. 1 ). Therefore, a reseating offset is not determined.
  • step 612 a first mean of the one or more normalized delta TOAs 602 may be determined.
  • step 614 a second mean of the one or more corrected delta TOAs 604 may be determined.
  • a reseating offset 618 corresponding to the blade may be determined by subtracting the second mean from the first mean at step 616.
  • the embodiments of the present techniques result in determination of the effects of operational data on TOAs.
  • the present techniques deduct the effects of operational data from the TOAs to determine normalized delta TOAs.
  • the present techniques normalize the effects of operational data on the TOAs of the blades to determine the normalized delta TOAs.
  • the normalized delta TOAs may be used for determining defects or cracks in the blades.
  • Certain embodiments of the present techniques also facilitate detection of variations in the TOAs of the blade due to reseating of the blades.
  • the determination of the normalized delta TOAs may be used for monitoring the health of the blades. For example, the normalized delta TOAs may be used to determine whether there are one or more cracks in the blades.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Structures Of Non-Positive Displacement Pumps (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Control Of Positive-Displacement Air Blowers (AREA)

Claims (10)

  1. Verfahren zum Überwachen des Zustands einer Mehrzahl von Blättern (12), umfassend:
    Bestimmen (106) von Delta-Ankunftszeiten "TOAs", die der Mehrzahl von Blättern (12) entsprechen, wobei jede Delta-TOA die Differenz zwischen einer aktuellen Ankunftszeit (104) und einer erwarteten Ankunftszeit (105) von jedem von der Mehrzahl von Blättern ist, gekennzeichnet durch die Schritte von:
    Bestimmen (404) einer Standardabweichung unter Verwendung der Delta-TOAs, die der Mehrzahl von Blättern entsprechen;
    Bestimmen (412) eines Delta-Sigma_1, wobei das Delta-Sigma_1 die Differenz zwischen der aktuellen Standardabweichung und einer anfänglichen Standardabweichung ist;
    Bestimmen (414) einer normalisierten Delta-TOA, die einem oder mehreren von der Mehrzahl von Blättern entspricht, unter Verwendung des Delta-Sigma_1, wobei das Bestimmen (414) der normalisierten Delta-TOA ein Bestimmen der normalisierten Delta-TOA unter Verwendung der folgenden Gleichung umfasst: Norm _ Δ ⁢ TO A k t = Δ ⁢ TO A k t − K ∗ Δ σ t _ 1 − Mean Δ TO A 1 ⁢ toj t
    Figure imgb0013
    wobei Norm_ΔTOAk (t) eine normalisierte Delta-TOA ist, die einem Blatt k zu dem Zeitpunkt t entspricht, ΔTOAk (t) eine Delta-TOA ist, die dem Blatt k zu dem Zeitpunkt t entspricht, Δσ(t)_1 ein Delta-Sigma_1 zu dem Zeitpunkt t ist, K eine Konstante ist und Mean(ΔTOA 1toj (t) ein Mittelwert der Delta-TOAs ist, die der Mehrzahl von Blättern entsprechen;
    Bestimmen (416) einer Standardabweichung der normalisierten Delta-TOA;
    Bestimmen (418) eines Delta-Sigma_2, wobei das Delta-Sigma_2 die Differenz zwischen der aktuellen Standardabweichung der normalisierten Delta-TOA und einer vorherigen Standardabweichung einer normalisierten Delta-TOA ist; und
    Bestimmen (428) einer korrigierten Delta-TOA, die dem einen oder den mehreren von der Mehrzahl von Blättern entspricht, basierend auf dem Delta-Sigma_2.
  2. Verfahren nach Anspruch 1, wobei die anfängliche Standardabweichung bestimmt wird, wenn die Mehrzahl von Blättern (12) nach einer Inbetriebnahme zum ersten Mal in Betrieb sind.
  3. Verfahren nach Anspruch 1 oder 2, wobei K auf dem Mittelwert der Delta-TOAs, die der Mehrzahl von Blättern entsprechen, basiert.
  4. Verfahren nach einem der vorstehenden Ansprüche, wobei das Bestimmen (418) der korrigierten Delta-TOA umfasst:
    Bestimmen (422) eines Rücksetzversatzes, der jedem von der Mehrzahl von Blättern entspricht; und
    Subtrahieren (428) des Rücksetzversatzes von der normalisierten Delta-TOA, was zu der korrigierten Delta-TOA führt.
  5. Verfahren nach Anspruch 4, wobei der Rücksetzversatz bestimmt wird, wenn Delta-Sigma_2 größer als ein vorbestimmter Schwellenwert ist oder die Mehrzahl von Blättern (12) nach einer Inbetriebnahme zum ersten Mal in Betrieb sind.
  6. Verfahren nach Anspruch 4, wobei das Bestimmen (422) des Rücksetzversatzes umfasst:
    Abrufen einer oder mehrerer normalisierter Delta-TOAs (602), die jedem von dem einem oder den mehreren von der Mehrzahl von Blättern entsprechen;
    Bestimmen von einer oder mehreren korrigierten Delta-TOAs (604) unter Verwendung der einen oder der mehreren normalisierten TOAs;
    Bestimmen (612) eines ersten Mittelwertes von der einen oder den mehreren normalisierten Delta-TOAs;
    Bestimmen (614) eines zweiten Mittelwertes von der einen oder den mehreren korrigierten Delta-TOAs; und
    Subtrahieren (616) des zweiten Mittelwertes von dem ersten Mittelwert, was zu dem Rücksetzversatz führt.
  7. Verfahren nach Anspruch 6, wobei die eine oder die mehreren normalisierten Delta-TOAs bestimmt werden, wenn das eine oder die mehreren Blätter in einem Übergangszustand nicht in Betrieb sind.
  8. System zum Überwachen des Zustands einer Mehrzahl von Blättern (12), umfassend:
    ein Verarbeitungsnebensystem (22), das konfiguriert ist zum:
    Bestimmen (106) von Delta-Ankunftszeiten "TOAs", die einer Mehrzahl von Blättern (12) entsprechen, wobei jede Delta-TOA die Differenz zwischen einer aktuellen Ankunftszeit (104) und einer erwarteten Ankunftszeit (105) von jedem von der Mehrzahl von Blättern ist, dadurch gekennzeichnet, dass das Verarbeitungsnebensystem (22) weiter konfiguriert ist zum:
    Bestimmen (404) einer Standardabweichung unter Verwendung der Delta-TOAs, die der Mehrzahl von Blättern entsprechen;
    Bestimmen (412) eines Delta-Sigma_1, wobei das Delta-Sigma_1 die Differenz zwischen der aktuellen Standardabweichung und einer anfänglichen Standardabweichung ist;
    Bestimmen (414) einer normalisierten Delta-TOA, die einem oder mehreren von der Mehrzahl von Blättern entspricht, unter Verwendung des Delta-Sigma_1, wobei das Bestimmen (414) der normalisierten Delta-TOA ein Bestimmen der normalisierten Delta-TOA unter Verwendung der folgenden Gleichung umfasst: Norm _ Δ ⁢ TO A k t = Δ ⁢ TO A k t − K ∗ Δ σ t _ 1 − Mean Δ TO A 1 ⁢ toj t
    Figure imgb0014
    wobei Norm_ΔTOAk (t) eine normalisierte Delta-TOA ist, die einem Blatt k zu dem Zeitpunkt t entspricht, ΔTOAk (t) eine Delta-TOA ist, die dem Blatt k zu dem Zeitpunkt t entspricht, Δσ(t)_1 ein Delta-Sigma_1 zu dem Zeitpunkt t ist, K eine Konstante ist und Mean(ΔTOA 1toj (t) ein Mittelwert der Delta-TOAs ist, die der Mehrzahl von Blättern entsprechen;
    Bestimmen (416) einer Standardabweichung der normalisierten Delta-TOA;
    Bestimmen (418) eines Delta-Sigma_2, wobei das Delta-Sigma_2 die Differenz zwischen der aktuellen Standardabweichung der normalisierten Delta-TOA und einer vorherigen Standardabweichung einer normalisierten Delta-TOA ist; und
    Bestimmen (428) einer korrigierten Delta-TOA, die dem einen oder den mehreren von der Mehrzahl von Blättern entspricht, basierend auf dem Delta-Sigma_2.
  9. System nach Anspruch 8, weiter umfassend einen oder mehrere Sensoren zum Erzeugen von Signalen, die für die jeweilige tatsächliche TOA des einen oder der mehreren Blätter repräsentativ sind.
  10. System nach Anspruch 8 oder 9, weiter umfassend zumindest einen Datenspeicher, der statische Ablenkung, Delta-TOA, tatsächliche TOA, Zwischenergebnisse oder Kombinationen davon speichert.
EP11171241.0A 2010-06-29 2011-06-23 System und Verfahren zur Überwachung des Zustands von Triebwerksschaufeln Active EP2402562B1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US12/825,895 US8676514B2 (en) 2010-06-29 2010-06-29 System and method for monitoring health of airfoils

Publications (3)

Publication Number Publication Date
EP2402562A2 EP2402562A2 (de) 2012-01-04
EP2402562A3 EP2402562A3 (de) 2017-07-05
EP2402562B1 true EP2402562B1 (de) 2019-02-27

Family

ID=44800918

Family Applications (1)

Application Number Title Priority Date Filing Date
EP11171241.0A Active EP2402562B1 (de) 2010-06-29 2011-06-23 System und Verfahren zur Überwachung des Zustands von Triebwerksschaufeln

Country Status (4)

Country Link
US (1) US8676514B2 (de)
EP (1) EP2402562B1 (de)
JP (1) JP5898865B2 (de)
CN (1) CN102384842B (de)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9045999B2 (en) * 2010-05-28 2015-06-02 General Electric Company Blade monitoring system
GB2481582A (en) * 2010-06-28 2012-01-04 Rolls Royce Plc A method for predicting initial unbalance in a component such as a blisk
US8478547B2 (en) * 2010-08-09 2013-07-02 General Electric Company Blade monitoring system
US20150300199A1 (en) * 2012-11-28 2015-10-22 United Technologies Corporation Turbofan with optical diagnostic capabilities
US9404386B2 (en) * 2012-11-30 2016-08-02 General Electric Company System and method for monitoring health of airfoils
US20150081229A1 (en) * 2013-09-16 2015-03-19 General Electric Company Compressor blade monitoring system
US9657588B2 (en) 2013-12-26 2017-05-23 General Electric Company Methods and systems to monitor health of rotor blades
US9714931B2 (en) * 2014-09-03 2017-07-25 General Electric Company System and method for estimating engine oil health
JP6465383B2 (ja) * 2014-10-10 2019-02-06 株式会社Ihi 翼損傷判定用装置と翼損傷判定方法
WO2018002819A1 (en) * 2016-06-27 2018-01-04 University Of Pretoria A method and system for measuring rotor blade tip deflection using blade tip timing (btt)
FR3077882B1 (fr) * 2018-02-12 2020-09-04 Safran Aircraft Engines Procede et systeme de detection d'un endommagement d'aubes mobiles d'un aeronef

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4790189A (en) * 1987-03-02 1988-12-13 Westinghouse Electric Corp. Method for eliminating sensor drift in a vibration monitoring system
US4887468A (en) 1988-06-03 1989-12-19 Westinghouse Electic Corp. Nonsynchronous turbine blade vibration monitoring system
US5206816A (en) 1991-01-30 1993-04-27 Westinghouse Electric Corp. System and method for monitoring synchronous blade vibration
US5331085A (en) * 1993-05-28 1994-07-19 General Electric Company Method for increasing viscosity uniformity in polycarbonate manufacture
GB9618096D0 (en) 1996-08-29 1996-10-09 Rolls Royce Plc Identification of resonant frequencies of vibration of rotating blades
US6336082B1 (en) 1999-03-05 2002-01-01 General Electric Company Method for automatic screening of abnormalities
US6594619B1 (en) 1999-08-02 2003-07-15 Hood Technology Corporation Apparatus and method for predicting failures of spinning disks in turbo-machinery
US6785635B2 (en) 1999-08-02 2004-08-31 Hood Technology Corporation Apparatus and method for predicting failures of spinning disks in turbo-machinery
US6408259B1 (en) * 2000-02-01 2002-06-18 General Electric Company Alert generation for trend performance analysis
US6791954B1 (en) * 2000-06-12 2004-09-14 Lucent Technologies Inc. Method for enhanced power control by adaptively adjusting an amount of change in a target signal-to-noise ratio
US7082371B2 (en) 2003-05-29 2006-07-25 Carnegie Mellon University Fundamental mistuning model for determining system properties and predicting vibratory response of bladed disks
US7318007B2 (en) * 2003-12-31 2008-01-08 United Technologies Corporation Real time gear box health management system and method of using the same
JP4375728B2 (ja) * 2004-04-15 2009-12-02 株式会社デンソー 内燃機関の制御装置
US8096184B2 (en) 2004-06-30 2012-01-17 Siemens Energy, Inc. Turbine blade for monitoring blade vibration
US7769507B2 (en) * 2004-08-26 2010-08-03 United Technologies Corporation System for gas turbine health monitoring data fusion
NO324581B1 (no) 2006-01-26 2007-11-26 Dynatrend As Fremgangsmate og anordning for a kunne bestemme nar det forekommer roterende stall i en kompressors turbinblad II
US7548830B2 (en) 2007-02-23 2009-06-16 General Electric Company System and method for equipment remaining life estimation
US7861592B2 (en) 2007-02-27 2011-01-04 Siemens Energy, Inc. Blade shroud vibration monitor
US20090301055A1 (en) 2008-06-04 2009-12-10 United Technologies Corp. Gas Turbine Engine Systems and Methods Involving Vibration Monitoring
US7650777B1 (en) 2008-07-18 2010-01-26 General Electric Company Stall and surge detection system and method
US7941281B2 (en) * 2008-12-22 2011-05-10 General Electric Company System and method for rotor blade health monitoring

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
None *

Also Published As

Publication number Publication date
US8676514B2 (en) 2014-03-18
JP5898865B2 (ja) 2016-04-06
CN102384842B (zh) 2016-03-09
US20110320138A1 (en) 2011-12-29
JP2012013082A (ja) 2012-01-19
CN102384842A (zh) 2012-03-21
EP2402562A3 (de) 2017-07-05
EP2402562A2 (de) 2012-01-04

Similar Documents

Publication Publication Date Title
EP2402562B1 (de) System und Verfahren zur Überwachung des Zustands von Triebwerksschaufeln
EP2402563B1 (de) Verfahren zur Überwachung des Zustands von Triebwerksschaufeln
EP2423451A2 (de) System und Verfahren für Schaufelblattszustandsüberwachung
US7941281B2 (en) System and method for rotor blade health monitoring
EP2660582B1 (de) System und Verfahren zur Überwachung der Gesundheit von Leitschaufeln
EP2728331B1 (de) Verfahren und Systeme zur Überwachung der Gesundheit von Schaufeln
JP2008180697A (ja) 間隙データを振動データに変換するためのシステム及び方法
JPH08503042A (ja) 軸流圧縮機の励振を監視するための方法および装置
CN105658911A (zh) 单晶涡轮叶片寿命确定过程和系统
Kaszynski et al. Accurate blade tip timing limits through geometry mistuning modeling
EP2518267B1 (de) System und Verfahren zur Zustandsüberwachung von Schaufeln
EP2749740B1 (de) System und Verfahren zur Zustandsüberwachung von Rotorblätter einer Turbine
US9250056B2 (en) System and method for monitoring health of airfoils
US20150000247A1 (en) System and method for detecting airfoil clash within a compressor
Mariottini et al. Wheel box test aeromechanical verification of new first stage bucket with integrated cover plates for MS5002 GT
Prieto Comparison of Natural Frequencies for Detection of Cracked Rotor Wheels

Legal Events

Date Code Title Description
AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

RIC1 Information provided on ipc code assigned before grant

Ipc: G05B 23/02 20060101ALI20170526BHEP

Ipc: F01D 21/00 20060101AFI20170526BHEP

Ipc: G01H 1/00 20060101ALI20170526BHEP

Ipc: G01M 15/14 20060101ALI20170526BHEP

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20180105

RBV Designated contracting states (corrected)

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: GRANT OF PATENT IS INTENDED

INTG Intention to grant announced

Effective date: 20181010

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE PATENT HAS BEEN GRANTED

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: AT

Ref legal event code: REF

Ref document number: 1101641

Country of ref document: AT

Kind code of ref document: T

Effective date: 20190315

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 602011056547

Country of ref document: DE

REG Reference to a national code

Ref country code: NL

Ref legal event code: MP

Effective date: 20190227

REG Reference to a national code

Ref country code: LT

Ref legal event code: MG4D

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: NL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190627

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: NO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190527

Ref country code: LT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190627

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190528

Ref country code: HR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: RS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: LV

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190527

REG Reference to a national code

Ref country code: AT

Ref legal event code: MK05

Ref document number: 1101641

Country of ref document: AT

Kind code of ref document: T

Effective date: 20190227

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: AL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

REG Reference to a national code

Ref country code: DE

Ref legal event code: R097

Ref document number: 602011056547

Country of ref document: DE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: SM

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

26N No opposition filed

Effective date: 20191128

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20190623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

REG Reference to a national code

Ref country code: BE

Ref legal event code: MM

Effective date: 20190630

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: TR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190623

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190630

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190630

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190630

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20190630

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT; INVALID AB INITIO

Effective date: 20110623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20190227

REG Reference to a national code

Ref country code: DE

Ref legal event code: R081

Ref document number: 602011056547

Country of ref document: DE

Owner name: GENERAL ELECTRIC TECHNOLOGY GMBH, CH

Free format text: FORMER OWNER: GENERAL ELECTRIC COMPANY, SCHENECTADY, NY, US

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20240521

Year of fee payment: 14